Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single-cell transcriptomics and RNA-Seq

被引:4
|
作者
Yin, Ruiling [1 ]
Zhai, Xiuming [1 ]
Han, Hongyan [1 ]
Tong, Xuedong [1 ]
Li, Yan [1 ]
Deng, Kun [1 ]
机构
[1] Chongqing Med Univ, Affiliated Hosp 3, Dept Lab Med, Chongqing 401120, Peoples R China
基金
中国国家自然科学基金;
关键词
cervical cancer; immunotherapy; single-cell sequencing; TAM; TUMOR-ASSOCIATED MACROPHAGES; PROFILES REVEALS; EXPRESSION; CANCER; LNCRNA; HYPOXIA; IMPACT;
D O I
10.1002/iid3.608
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: Cervical squamous cell carcinoma (CSCC), caused by the infection of high-risk human papillomavirus, is one of the most common malignancies in women worldwide. Methods: RNA expression data, including those from the Cancer Genome Atlas, Gene Expression Omnibus, and Genotype-Tissue Expression databases, were used to identify the expression of RNAs in normal and tumor tissue. Correlation analysis was performed to identify the immune-related long non-coding RNAs (IRLs) and hypoxia-related genes (IRHs) that can influence the activity of the immune system. Prognosis models of immune-related RNAs (IRRs) were used to construct a coexpression network of the immune system. We identified the role of IRRs in immunotherapy by correlation analysis with immune checkpoint genes (ICGs). We then validated the expression data by integrating two single-cell sequencing data sets of CSCC to identify the key immune features. Results: In total, six immune-related gene (IRG), four IRL, and five IRH signatures that can significantly influence the characteristics of the tumor immune microenvironment (TIME) were selected using machine learning methods. The expression level of ICGs was significantly upregulated in GZMB(+)CD8(+) T-cells and tumor-associated macrophages (TAMs) in tumor tissues. TGFBI(+) TAMs are a kind of blood-derived monocyte-derived M0-like TAM linked to hypoxia and a poor prognosis. IFI30(+) M1-like TAMs participate in the process of immune-regulation and showed a role in the promotion of CD8(+) T-cells and Type 1 T helper (Th1)/Th2 cells in the coexpression network, together with several IRLs, IRGs, and ICGs. Conclusions: CD16(+) monocyte-derived IFI30(+) TAMs participated in our coexpression network to regulate the TIME, showing the potential to be a novel immunotherapy target. The enrichment of M0-like TAMs was associated with a worse prognosis in the high-risk score group with IRH signatures. Remarkably, M0-like TAMs in tumor tissues overexpressed TGFB1 and were associated with several well-known tumor-proliferation pathways.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] Integrating single-cell RNA sequencing with spatial transcriptomics reveals immune landscape for interstitial cystitis
    Peng, Liao
    Jin, Xi
    Li, Bo-ya
    Zeng, Xiao
    Liao, Bang-hua
    Jin, Tao
    Chen, Jia-wei
    Gao, Xiao-shuai
    Wang, Wei
    He, Qing
    Chen, Guo
    Gong, Li-na
    Shen, Hong
    Wang, Kun-jie
    Li, Hong
    Luo, De-yi
    [J]. SIGNAL TRANSDUCTION AND TARGETED THERAPY, 2022, 7 (01)
  • [22] Integrated analysis of single-cell RNA-seq and bulk RNA-seq reveals MMP mediated expression patterns by distinct tumor microenvironment immune profiles in cervical cancer
    Wang, He
    Li, Xinbo
    Zhou, Siyu
    Guo, Wendi
    Wang, Zhao
    Sun, Linlin
    Zhao, Zhongyi
    Han, Yanyan
    Zhang, Sanyuan
    Lv, Jieping
    Ping, Yi
    Wang, Zhe
    [J]. JOURNAL OF CANCER, 2024, 15 (16): : 5258 - 5276
  • [23] Gentle cell sorting of immune cells for downstream single-cell RNA-seq
    Jagnandan, Nicole
    Morachis, Jose
    [J]. JOURNAL OF IMMUNOLOGY, 2020, 204 (01):
  • [24] Dissecting LncRNA Roles in Renal Cell Carcinoma Metastasis and Characterizing Genomic Heterogeneity by Single-Cell RNA-seq
    Li, Xue
    Meng, Xianwen
    Wei, Cong
    Zhou, Yincong
    Chen, Hongjun
    Huang, He
    Chen, Ming
    [J]. MOLECULAR CANCER RESEARCH, 2018, 16 (12) : 1879 - 1888
  • [25] Single-cell RNA-Seq reveals changes in immune landscape in post-traumatic osteoarthritis
    Sebastian, Aimy
    Hum, Nicholas R.
    McCool, Jillian L.
    Wilson, Stephen P.
    Murugesh, Deepa K.
    Martin, Kelly A.
    Rios-Arce, Naiomy Deliz
    Amiri, Beheshta
    Christiansen, Blaine A.
    Loots, Gabriela G.
    [J]. FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [26] Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry
    Qihuang Zhang
    Shunzhou Jiang
    Amelia Schroeder
    Jian Hu
    Kejie Li
    Baohong Zhang
    David Dai
    Edward B. Lee
    Rui Xiao
    Mingyao Li
    [J]. Nature Communications, 14
  • [27] Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry
    Zhang, Qihuang
    Jiang, Shunzhou
    Schroeder, Amelia
    Hu, Jian
    Li, Kejie
    Zhang, Baohong
    Dai, David
    Lee, Edward B.
    Xiao, Rui
    Li, Mingyao
    [J]. NATURE COMMUNICATIONS, 2023, 14 (01)
  • [28] Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq
    Islam, Saiful
    Kjallquist, Una
    Moliner, Annalena
    Zajac, Pawel
    Fan, Jian-Bing
    Lonnerberg, Peter
    Linnarsson, Sten
    [J]. GENOME RESEARCH, 2011, 21 (07) : 1160 - 1167
  • [29] Single-cell RNA-seq reveals the transcriptional landscape in ischemic stroke
    Zheng, Kai
    Lin, Lingmin
    Jiang, Wei
    Chen, Lin
    Zhang, Xiyue
    Zhang, Qian
    Ren, Yi
    Hao, Junwei
    [J]. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 2022, 42 (01): : 56 - 73
  • [30] Integrating Spatial Transcriptomics and Single-Cell RNA-seq Reveals the Gene Expression Profling of the Human Embryonic Liver
    Hou, Xianliang
    Yang, Yane
    Li, Ping
    Zeng, Zhipeng
    Hu, Wenlong
    Zhe, Ruilian
    Liu, Xinqiong
    Tang, Donge
    Ou, Minglin
    Dai, Yong
    [J]. FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2021, 9